mkuznetsov

Managing a full-stack tech team to build AI tools that provide data solutions for US “big pharma” companies at scale. Built microservices-based systems including structured and unstructured data processing pipelines, declarative AI agents, interactive analytics platforms featuring OLAP querying, rich visualizations, and full-text search, and hybrid retrieval RA, chat with streaming and multimodal response. Implemented several AI tools to streamline team productivity, including: Codex, Cursor, CodeRabbit, Langchain AI agents, Loveable, which led to 18% increase in delivery and 25% cycle time decrease; Championed migration of a large internal SaaS project into microservices (frontend & backend), resulting in x2.5 deployment frequency; Built a fullstack team from 0 to 15 developers, including hiring, 1-1’s, performance review, etc; Get application ready for SOC2 certification, including RBAC (via Auth0), row-level security DB; Improved DORA metrics: Change Failure Rate from 25% to <5%, Lead Time from 1.5 week to 4 days; Technologies: TypeScript, NextJS, Nest, Python 3.13, fastAPI, Celery, CI/CD (Github, Vercel), GCP (Cloud Run, Storage API, Cloud SQL, BigQuery, AI Studio), Prometheus, Terraform, Langchain/LangGraph, Redis, PostgreSQL, GraphQL, Hasura, Cube.dev, Meilisearch, Airflow, Vue, Go;

Leading full-stack teams (up to 15 people) to build the best experience for over 7000 partners onboarding and selling at the marketplace platform across the EU. Implemented data solutions to improve back-office logistics using microservices & AWS. Developed an onboarding co-pilot for new suppliers using OpenAI and Python. Saved >50 support hours monthly; Spearheaded implementation of OpenTelemetry for over 30 projects in the department, improving availability and following SRE practices. Increased back-office applications availability by 16%; Team and department-level OKR for delivery performance and SLA/SLO stability; Technologies: SRE, Kotlin; microservices, CI/CD, ELK stack, TypeScript, React/Vue, Python 3.11, Nodejs, Kafka, Prometheus, Kubernetes, AWS;

Leading teams (up to 12 people), optimizing internal and external hires, and implementing agile development practices. Supporting businesses on strategic goals (e.g., integrating the next version of payment solutions) and engineering resource supply. Technologies: Typescript, JavaScript, CI/CD (GitLab, Jenkins), WebComponents, GraphQL, Jest, Nodejs; Java 8, Spring, building and deploying microservices, MongoDB; ELK stack, Prometheus, Docker, Azure DevOps, SRE; Coordinated mainframe decommissioning project impacting 2M+ customers; Mentoring engineers, converting classic OPS to DevOps profile; Leading one of the top-performing teams with a portfolio of global APIs, 25TPS, 5+ countries; HR representative: process improvements, speeding up hires by 17%, decreasing churn by 10%;

Supporting existing apps and developing new microservices and customer-facing UIs. Migrating a monolithic backend towards a microservices ecosystem. Investment models' performance dashboards. Technologies: Web Components/MicroFrontends/TypeScript, Jest, GraphQL, Java 8, Java Spring, microservices, ELK stack, Docker, Gitlab CI/CD; Architecting and leading migration of the frontend monolith app 100 KLOC to a set of SPAs; Developed an i18n solution for the ecosystem for 3+ countries used by 100+ developers; Integrating a pilot GraphQL project that leads to x1.5 decrease in data load time;

Technologies: AngularJS, TypeScript, HTML5 APIs, NodeJS, Java (JSP, Tomcat), REST APIs; Rewriting modules of the core application in the latest tech stack; Setting up CI pipeline; Developing PWA using Material design; Integrating document parsing and presenting solutions; Presented and led implementation of data analysis dashboards used by customers worldwide;

Technologies: Java (JSP, Tomcat), technical debt, software quality, Sonar; Improved estimation of work complexity calculation by 17%; Worked with five cross-functional teams responsible for 300KLOC serving core bank functionality; Investigated the state-of-the-art approaches and built a comprehensive model for measuring technical debt;

Technologies: HTML5, jQuery/Backbone, Selenium; Java (JSP, Tomcat), MS Sharepoint, Python;

Technologies: HTML/CSS, jQuery; Java (JSP), Social networks APIs; A/B testing, MailChimp, GoogleAnalytics, etc;